Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Development of an improved empirical model for slant delays in the troposphere (GPT2w)
2014432 citationsJohannes Böhm, Gregor Möller et al.GPS Solutionsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Robert Weber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Weber more than expected).
This network shows the impact of papers produced by Robert Weber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert Weber. The network helps show where Robert Weber may publish in the future.
Co-authorship network of co-authors of Robert Weber
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Weber.
A scholar is included among the top collaborators of Robert Weber based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Robert Weber. Robert Weber is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Weber, Robert, et al.. (2019). PPP with smartphone GNSS data. EGU General Assembly Conference Abstracts. 12958.1 indexed citations
7.
Wittmann, Christoph, et al.. (2016). GNSS tomography and assimilation test cases during the 2013 Central Europe floods. EGU General Assembly Conference Abstracts.
8.
Weber, Robert, et al.. (2016). Regional Ionospheric Modelling for Single-Frequency Users. EGU General Assembly Conference Abstracts.1 indexed citations
Huber, Katrin, et al.. (2014). Real-time PPP with Ambiguity Resolution – Determination and Application of Uncalibrated Phase Delays. 976–985.2 indexed citations
12.
Schindelegger, Michael, et al.. (2014). Troposphere delay models in blind mode - towards improved predictions of the wet component. EGU General Assembly Conference Abstracts. 9540.2 indexed citations
13.
Steigenberger, Peter, Oliver Montenbruck, Robert Weber, & Urs Hugentobler. (2013). Status and Perspective of the IGS Multi-GNSS Experiment (MGEX). EGUGA.1 indexed citations
Weber, Robert, et al.. (2005). Integrity Monitoring of IGS Satellite Orbits by Means of the RTIGS Network. AGU Fall Meeting Abstracts. 2005.1 indexed citations
16.
Weber, Robert, et al.. (2004). Precise GLONASS orbit determination within the IGS/IGLOS Pilot Project. cosp. 35. 4550.10 indexed citations
17.
Slater, James A., et al.. (2004). The IGS GLONASS Pilot Project … Transitioning an Experiment into an Operational GNSS Service. Proceedings of the 17th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2004). 1749–1757.11 indexed citations
18.
Weber, Robert, Carine Bruyninx, H. G. Scherneck, et al.. (2003). Tidal effects in GPS/GLONASS data processing. 13. 193–200.1 indexed citations
19.
Slater, James A., Pascal Willis, Gerhard Beutler, et al.. (1999). The International GLONASS Experiment (IGEX-98): Organization, Preliminary Results and Future Plans. 2293–2302.4 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.